Imagine if getting a building permit was like a spell-check for a document, but for blueprints and laws. Instead of people spending weeks manually checking if a design follows every local rule, a computer does it instantly. It turns complex law books into a digital checklist that flags errors before construction even starts.
Building permit processes are slow and expensive because they rely on manual checks of massive amounts of documentation. This leads to higher construction costs and frequent errors in compliance.
A cloud-based microservice system that converts building laws into machine-readable rules to automatically check BIM models for compliance.
If you are a BIM consultancy dealing with slow permit approvals and manual error checking — this project developed machine-readable rules that automatically verify designs. This reduces the time spent on manual documentation and prevents costly redesigns.
If you are a local authority dealing with inconsistent permit reviews and paper-heavy workflows — this project developed a microservice ecosystem that automates compliance checks. This ensures transparency and speeds up the approval process for citizens.
If you are a developer dealing with complex CO2 and circular economy regulations — this project developed automated checks for environmental rules. This helps you prove climate-neutrality and align with the EU Green Deal more efficiently.
Based on available project data, specific pricing or licensing costs for the resulting tools are not provided, though the project aims for cost-effective solutions for applicants and authorities.
Yes, the system was demonstrated across 5 different regulatory contexts: UK, Finland, Estonia, Germany, and Spain, using a scalable microservice architecture.
Based on available project data, the project focuses on open and neutral data exchange standards and open APIs to avoid vendor lock-in, but specific IP ownership is not detailed.
The project developed a methodology to turn regulations into machine-readable rules using both manual and AI-assisted processes, allowing rules to be updated digitally.
It uses a microservice architecture and open APIs, allowing businesses and authorities to connect their existing digital services to the ecosystem.
The consortium is highly diversified with 23 partners across 11 countries. It maintains a healthy balance between research and commercial application, with a 22% industry ratio including 7 SMEs. This mix suggests the technology has been vetted by both academic experts and practical market players.
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